Job Summary

Wells Fargo is seeking a Lead Software Engineer.

Responsibilities

Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor

Required Qualifications

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications

Design and implement scalable data lake and data platform solutions on GCP.
Develop and optimize data pipelines (batch and streaming) using modern cloud-native services.
Build robust data ingestion, transformation, and processing frameworks.
Collaborate with IAM, security, and analytics teams to integrate identity and access data into the data platform.
Ensure data quality, integrity, and governance across the data lifecycle.
Develop reusable components and frameworks using Python. Work with BigQuery to design efficient data models, partitioning, and query optimization strategies.
Integrate data platforms with enterprise systems (IAM tools, PAM, HR, etc.).
Implement secure data access patterns aligned with enterprise IAM policies.
Support performance tuning and cost optimization of cloud data workloads.
Contribute to architecture decisions and best practices for data modernization initiatives.
Provide technical leadership and mentorship to junior team members

Job Expectations

810 years of experience in data engineering / backend development
Strong hands-on experience with Google Cloud Platform (GCP): BigQuery, Dataflow / Apache Beam, Cloud Storage, Pub/Sub
Solid understanding of data lake / modern data architecture paradigms
Strong programming skills in Python (mandatory)
Experience building scalable ETL/ELT pipelines

Lead Software Engineer

Job Description